Psychiatry

Depression is associated with treatment response trajectories in adults with Prolonged Grief Disorder: A machine learning analysis.

BACKGROUND: Although evidence-based Prolonged Grief Disorder treatments (PGDT) exist, pretreatment c...

Modeling Brain Aging with Explainable Triamese ViT: Towards Deeper Insights into Autism Disorder.

Machine learning, particularly through advanced imaging techniques such as three-dimensional Magneti...

Age-Related Differences in Risk Factors for Long-Term Care Certification in Japan: A Decision Tree Analysis Spanning 3 Years.

Ensuring healthy aging and extending health span is critical, particularly in aging societies. This ...

Artificial intelligence (AI) in psychotherapy: A challenging frontier.

ObjectiveArtificial intelligence (AI) chatbots have emerged as a potential tool to revolutionise men...

The Role of Generative Artificial Intelligence in Evaluating Adherence to Responsible Press Media Reports on Suicide: A Multi-Site, Three-Language Study.

Automated analysis of clinical interviews indicates altered head movements during social interactions in youth at clinical high-risk for psychosis.

Alterations in social functioning are commonly observed in youth at clinical high risk (CHR) for psy...

Prediction of attention deficit hyperactivity disorder using the comprehensive attention test: a large-scale machine learning approach.

BACKGROUND: The diagnosis of attention deficit hyperactivity disorder (ADHD) relies on comprehensive...

Predicting treatment response in individuals with major depressive disorder using structural MRI-based similarity features.

BACKGROUND: Major Depressive Disorder (MDD) is a prevalent mental health condition with significant ...

Large-scale examination of early-age sex differences in neurotypical toddlers and those with autism spectrum disorder or other developmental conditions.

Autism spectrum disorder (ASD) is clinically heterogeneous, with ongoing debates about phenotypic di...

EEG Connectivity as Predictor of ICAN ADHD Children's Improvement After Completion of Theta Beta Ratio Neurofeedback: Machine Learning Analyses.

Attention deficit hyperactivity disorder is a prevalent syndrome that costs billions of dollars annu...

Abolish Psychiatry, Abolish Neurology: Toward a Unified Discipline of Brain Medicine.

The longstanding division between psychiatry and neurology is a historical artifact, not a scientifi...

Identifying key risk factors for intentional self-harm, including suicide, among a cohort of people prescribed opioid agonist treatment: A predictive modelling study.

BACKGROUND AND AIMS: People with opioid use disorder are at increased risk of intentional self-harm ...

The influence of mental state attributions on trust in large language models.

Rapid advances in artificial intelligence (AI) have led users to believe that systems such as large ...

A data-centric and interpretable EEG framework for depression severity grading using SHAP-based insights.

BACKGROUND: Major Depressive Disorder is a leading cause of disability worldwide. An accurate assess...

The two ends of the spectrum: comparing chronic schizophrenia and premorbid latent schizotypy by actigraphy.

Motor activity alterations are key symptoms of psychiatric disorders like schizophrenia. Actigraphy,...

Deep learning algorithms reveal genomic markers for anxiety disorder in a large cohort of children with down syndrome.

Despite a significant burden of neurobehavioral and psychiatric comorbidities in children with Down ...

Exploring voice as a digital phenotype in adults with ADHD.

Current diagnostic procedures for attention deficit hyperactivity disorder (ADHD) are mainly subject...

Optimizing Treatment for Depression in Primary Care Using Psychotherapy Versus Antidepressant Medication in a Low-Resource Setting: Protocol for the OptimizeD Randomized Controlled Trial.

Psychotherapy and antidepressant medications are first-line treatments for depression, and they bot...

Integrating Knowledge: The Power of Ontologies in Psychiatric Research and Clinical Informatics.

Ontologies are structured frameworks for representing knowledge by systematically defining concepts,...

[Towards an equipped psychiatry].

The article by Moizard and Geoffroy highlights the importance of an integrated approach in psychiatr...

[Psilocybin in the setting of treatment-resistant unipolar depression: A case report].

BACKGROUND: Current antidepressants have shown certain limitations in the treatment of unipolar depr...